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A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries

OBJECTIVE: The authors present a system developed for the Challenge in Natural Language Processing for Clinical Data—the i2b2 obesity challenge, whose aim was to automatically identify the status of obesity and 15 related co-morbidities in patients using their clinical discharge summaries. The chall...

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書誌詳細
主要な著者: Yang, Hui, Spasic, Irena, Keane, John A., Nenadic, Goran
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2705266/
https://ncbi.nlm.nih.gov/pubmed/19390098
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M3096
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